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M

Minato Tanaka

AI Model Training for Risk Management System

ARMENIA flag
Yerevan, Armenia
Expert

Key Skills

Software

No software listed

Top Subject Matter

Risk Management
AI Model Training
Digital Art Authentication

Top Data Types

ImageImage
DocumentDocument
TextText

Top Task Types

Fine Tuning
Classification

Freelancer Overview

AI Model Training for Risk Management System. Brings 11+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include TensorFlow. Education includes Bachelor of Computer Science, National University of Singapore (2016). AI-training focus includes data types such as Tabular and Image and labeling workflows including Fine-tuning and Classification.

Expert

Labeling Experience

AI Model Training for Risk Management System

Fine Tuning
Developed and trained a robust AI model for an advanced Risk Management System by labeling and preparing relevant data. Utilized TensorFlow to process, annotate, and build training sets to improve model decision-making. Ensured the dataset was comprehensive, clean, and optimized for model accuracy and reliability. • Labeled financial or risk management data for model training and validation. • Applied fine-tuning techniques to improve model performance using supervised learning principles. • Collaborated with engineering teams to define annotation guidelines and quality standards. • Utilized TensorFlow and internal tools for annotation and data processing.

Developed and trained a robust AI model for an advanced Risk Management System by labeling and preparing relevant data. Utilized TensorFlow to process, annotate, and build training sets to improve model decision-making. Ensured the dataset was comprehensive, clean, and optimized for model accuracy and reliability. • Labeled financial or risk management data for model training and validation. • Applied fine-tuning techniques to improve model performance using supervised learning principles. • Collaborated with engineering teams to define annotation guidelines and quality standards. • Utilized TensorFlow and internal tools for annotation and data processing.

2019 - 2025

AI-based Art Verification System - Data Labeling & Model Training

ImageClassification
Developed and implemented AI-powered verification systems to detect fake or copied digital arts using labeled datasets. Labeled images of artworks by verifying their authenticity and classifying them as original or fake. Used machine learning models to improve detection through curated image annotation and dataset enhancement. • Labeled images of artworks for authenticity classification. • Utilized TensorFlow and digital art databases for AI model training. • Improved artwork authenticity detection through iterative data labeling. • Evaluated and validated model outputs for classification accuracy.

Developed and implemented AI-powered verification systems to detect fake or copied digital arts using labeled datasets. Labeled images of artworks by verifying their authenticity and classifying them as original or fake. Used machine learning models to improve detection through curated image annotation and dataset enhancement. • Labeled images of artworks for authenticity classification. • Utilized TensorFlow and digital art databases for AI model training. • Improved artwork authenticity detection through iterative data labeling. • Evaluated and validated model outputs for classification accuracy.

2022 - 2022

AI Model Implementation for Risk Management System - Data Annotation

Fine Tuning
Implemented AI models for Risk Management Systems by labeling and preparing relevant tabular data. Applied data preprocessing and annotation techniques using TensorFlow and PyTorch for enhancing AI-driven decisions. Contributed to model accuracy through consistent and precise dataset labeling and curation. • Annotated tabular risk management data using TensorFlow and PyTorch. • Performed data cleaning and preprocessing prior to training. • Collaborated with engineering teams to set labeling standards and check quality. • Supported continuous improvement of models via dataset expansion and correction.

Implemented AI models for Risk Management Systems by labeling and preparing relevant tabular data. Applied data preprocessing and annotation techniques using TensorFlow and PyTorch for enhancing AI-driven decisions. Contributed to model accuracy through consistent and precise dataset labeling and curation. • Annotated tabular risk management data using TensorFlow and PyTorch. • Performed data cleaning and preprocessing prior to training. • Collaborated with engineering teams to set labeling standards and check quality. • Supported continuous improvement of models via dataset expansion and correction.

2019 - 2020

Education

N

National University of Singapore

Bachelor of Computer Science, Computer Science

Bachelor of Computer Science
2012 - 2016

Work History

R

Rescode

Software Developer

Yerevan
2019 - Present
A

Ato Platform

Senior Software Engineer

New York
2022 - 2022